This is the BULL consumer for the long running jobs given for 'ffmpeg-as-a-service' jobs by camerasdiscovery. All tasks like saving,streaming,transcoding etc are consumed as jobs are managed using BULL nodejs framework.
Advanced Settings
Warning: Do not override these advanced settings unless you understand the internals of the queue.
lockDuration: Time in milliseconds to acquire the job lock. Set this to a higher value if you find that your jobs are being stalled because your job processor is CPU-intensive and blocking the event loop (see note below about stalled jobs). Set this to a lower value if your jobs are extremely time-sensitive and it might be OK if they get double-processed (due to them be falsly considered stalled).
lockRenewTime: Interval in milliseconds on which to acquire the job lock. It is set to lockDuration / 2 by default to give enough buffer to renew the lock each time before the job lock expires. It should never be set to a value larger than lockDuration. Set this to a lower value if you're finding that jobs are becoming stalled due to a CPU-intensive job processor function. Generally you shouldn't change this though.
stalledInterval: Interval in milliseconds on which each worker will check for stalled jobs (i.e. unlocked jobs in the active state). See note below about stalled jobs. Set this to a lower value if your jobs are extremely time-sensitive. Set this to a higher value if your Redis CPU usage is high as this check can be expensive. Note that because each worker runs this on its own interval and checks the entire queue, the stalled job actually run much more frequently than this value would imply.
maxStalledCount: The maximum number of times a job can be restarted before it will be permamently failed with the error job stalled more than allowable limit. This is set to a default of 1 with the assumption that stalled jobs should be very rare (only due to process crashes) and you want to be on the safer side of not restarting jobs. Set this higher if stalled jobs are common (e.g. processes crash a lot) and it's generally OK to double process jobs.
guardInterval: Interval in milliseconds on which the delayed job watchdog will run. When running multiple concurrent workers with delayed tasks, the default value of guardInterval will cause spikes on network bandwidth, cpu usage and memory usage. Each concurrent worker will run the delayed job watchdog. In this case set this value to something much higher, e.g. guardInterval = numberOfWorkers*5000. Set to a lower value if your Redis connection is unstable and delayed jobs aren't being processed in time.
retryProcessDelay: Time in milliseconds in which to wait before trying to process jobs, in case of a Redis error. Set to a lower value on an unstable Redis connection.
backoffStrategies: An object containing custom backoff strategies. The key in the object is the name of the strategy and the value is a function that should return the delay in milliseconds. For a full example see Patterns.
drainDelay: A timeout for when the queue is in drained state (empty waiting for jobs). It is used when calling queue.getNextJob(), which will pass it to .brpoplpush on the Redis client.
backoffStrategies: {
jitter: function () {
return 5000 + Math.random() * 500;
}
}Src:
The MIT License (MIT)
Copyright (c) @ Saurabh Shandilya
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